Symbolic analysis of networks by partitioned polynomial interpolation

A method is given for improving the accuracy of the coefficients of network polynomials of high order produced by symbolic analysis on a computer. By partitioning the polynomials into sets of coefficients the order of the individual matrices involved is reduced and so is the error when these are inverted. The problem is reduced to the inversion of only two Vandermonde matrices. Considerable increases in accuracy are demonstrated.